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Signal Processing Engineer (RF Processing & Analytics)

Harmattan AI· R&D
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ParisFull-timePosted 1mo ago

About the role

Signal Processing Engineer focused on RF processing and analytics to detect, classify, and identify emitters from RF encounters, building real-time electronic order of battle across Radar, Radio, and Electronic Warfare modules.

Responsibilities

  • Signal Detection & Characterization: Build algorithms to detect, deinterleave, and extract parameters (PRI, pulse width, frequency, modulation) from intercepted RF emissions.
  • Emitter Classification & Identification: Develop classification pipelines — combining feature-based methods and machine learning — to identify emitter types and match them against threat libraries.
  • Electronic Order of Battle: Design the analytics that turn individual detections into a coherent, real-time picture of emitters, tracks, and threat posture.
  • AI-Assisted Analytics: Apply machine learning to modulation recognition, anomaly detection, and emitter fingerprinting where it improves classification confidence in dense, contested spectrum.
  • Cross-Module Data Fusion: Work with signals captured by Radar, Radio, and Electronic Warfare to build a unified processing pipeline rather than siloed, single-sensor analysis.
  • Real-Time Pipeline Engineering: Take algorithms from offline prototyping (MATLAB/Python) to real-time or near-real-time implementation, alongside software and embedded/FPGA engineers.
  • Field Validation: Validate detection and classification performance against simulated and real-world RF datasets, in lab and field-test conditions.

Qualifications

  • Master's or PhD in Electrical Engineering, Signal Processing, Applied Mathematics, or a related field.
  • 3-6 years of experience in RF/radar signal processing, ideally with exposure to ELINT, ESM, or SIGINT applications.
  • Strong fundamentals in DSP: spectral analysis, filtering, multi-rate processing, statistical/adaptive signal processing.
  • Proficiency in Python and/or MATLAB for algorithm prototyping; working knowledge of C/C++ for production-oriented implementation.
  • Comfortable applying machine learning to signal classification problems.
  • Clear communicator, able to work across RF hardware, software, and data science disciplines.
  • Fluency in English required; French is a plus.
Last updated Sep 16, 2026. Interested? Apply on the company site.
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Building the Future of Autonomous Warfare.

Building the Future of Autonomous Warfare.

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